Convenient wrapper for creating a number of different types of plots using a consistent calling scheme and convert it into ggplotly
p <- qplot(mpg, wt, data = mtcars)
plotly::ggplotly(p)
p <- qplot(mpg, wt, data = mtcars, colour = cyl)
plotly::ggplotly(p)
p <- qplot(mpg, wt, data = mtcars, size = cyl)
plotly::ggplotly(p)
p <- qplot(mpg, wt, data = mtcars, facets = vs ~ am)
plotly::ggplotly(p)
p <- qplot(1:10, rnorm(10), colour = runif(10))
plotly::ggplotly(p)
p <- qplot(1:10, letters[1:10])
plotly::ggplotly(p)
mod <- lm(mpg ~ wt, data = mtcars)
p <- qplot(resid(mod), fitted(mod))
plotly::ggplotly(p)
f <- function() {
a <- 1:10
b <- a ^ 2
qplot(a, b)
}
p <- f()
plotly::ggplotly(p)
p <- qplot(mpg, wt, data = mtcars, colour = I("red"))
plotly::ggplotly(p)
p <- qplot(mpg, wt, data = mtcars)
plotly::ggplotly(p)
p <- qplot(mpg, data = mtcars)
plotly::ggplotly(p)
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
p <- qplot(y = mpg, data = mtcars)
plotly::ggplotly(p)
p <- qplot(mpg, wt, data = mtcars, geom = "path")
plotly::ggplotly(p)
p <- qplot(factor(cyl), wt, data = mtcars, geom = c("boxplot", "jitter"))
plotly::ggplotly(p)
p <- qplot(mpg, data = mtcars, geom = "dotplot")
plotly::ggplotly(p)
## Bin width defaults to 1/30 of the range of the data. Pick better value with `binwidth`.